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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 21976
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    Explanations

    descriptions of how things are made or instructions for using tools

    oai_token-act-pair · gpt-3.5-turbo

    instances of teaching or educational experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.66
    Cub
    -0.64
    Hung
    -0.57
    SPA
    -0.56
    Watch
    -0.55
    alion
    -0.54
    opolis
    -0.53
    mie
    -0.53
    ionage
    -0.53
     HAS
    -0.52
    POSITIVE LOGITS
     themselves
    1.19
    selves
    0.98
     respectively
    0.96
     individually
    0.91
     selves
    0.88
    geries
    0.86
     collectively
    0.84
     respective
    0.83
     counterparts
    0.82
     expire
    0.81
    Activations Density 1.505%

    No Known Activations